user
Train a SVM model for the given dataset.

assistant
import numpy as np
from sklearn.svm import SVC

# Load the dataset
X = np.load('data/X.npy')
y = np.load('data/y.npy')

# Train the model 
clf = SVC()
clf.fit(X, y)